Statistics Analysis App

Contents

• Features
• Requirements
• Build & Run
• Usage
• Data Format
  • Minitool 1: Life Span of Batteries
  • Minitool 2: Speed trap scenario, Cholesterol Level
  • Minitool 3: Bivariate Scatter & Partitioning
• Sample Data

Features

• Life Span of Batteries: This minitool allows students to explore and compare the life span of two different battery brands—Always Ready and Tough Cell.
• Speed trap scenario: Analyse changes in behaviour of traffic after the police implemented a speed trap on that section of the highway.
• Cholesterol Level: Analyse the changes of cholesterol level of the pacients of medical experiment, that came through certain diet.
• Bivariate Scatter & Partitioning: Dynamic scatter plot with draggable quadrants, customizable grids, and equal-group slicing for two-variable relationships.

Requirements

• Node.js v14 or higher
• npm v6 or higher

Build & Run

Clone the repository and install dependencies:

# Clone repository
git clone https://github.com/DevinMprz/Statistics-Analysis-App.git
cd Statistics-Analysis-App

# Install dependencies
npm install

#Buld the project
npm run start

Usage

1. Open your browser to http://localhost:8081. (if 8081 is busy, expo will suggest you to use another port (usually 8082))
2. Select a Minitool from the navigation menu.
3. Use the on-screen controls or your input devices to interact with charts.

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Data Format

Minitool 1: Life Span of Batteries

Objects that include value and label properties.

Example: [
  {value: 10, label: "Tough cell"},
  {value: 20, label: "Always Ready"},
  {value: 30, label: "Tough cell"},
  {value: 40, label: "Always Ready"},
  ...
  ]

Minitool 2: Speed trap scenario, Cholesterol Level

Values of individual records in brackets, separated by comma

Example: [10,20,30...]

Minitool 3: Bivariate Scatter & Partitioning

...

Sample Data

The data/ directory includes example files